我有三个表:
表名:客户
Column Name: Data Type: Description:
id integer Unique id for customer
company_id integer(FK to company.id) Unique id for a company that the customer works for
contact_name varchar Full name of customer
contact_email varchar Email of customer
create_dt date Date when customer added to database
表名称:公司
Column Name: Data Type: Description:
id integer Unique id for company
company_name varchar Name of company
create_dt date Date when company added to database
converted boolean if customer was converted
converted_dt date Date company purchased the product Value is null if the company did not
表名:已联系(操作/联系客户的方式)
Column Name: Data Type: Description:
customer_id integer(FK to Customer.id) Unique id for contact
rep_name varchar Name of the rep who made the contact with the customer
rep_email varchar Email of rep who made the contact
contact_channel varchar Channel used to contact the customer(email,phone, in-person...)
contact_dt date Date of contact
我正在尝试编写一个查询,以显示在公司一级成功转换为客户之前已联系的客户的平均数量。 我能够获得成功转换客户之前的计数数量,但不确定如何在最终转换实例的情况下获取平均计数和因子。
COUNT(CASE WHEN converted = FALSE AND converted_dt is NULL THEN 1 ELSE 0 END) as contacts_made_before_conversion,
CASE WHEN Company.converted_dt is NOT null THEN count(contact_dt) over(partition by company_name order by contact_dt DESC END) as contacted_counts
FROM Contacted
LEFT JOIN
(SELECT Customer.id as customer_id , company_name,
Company.converted,
FROM Customer LEFT JOIN Company
ON Company.id = Customer.company_id) cc
ON cc.customer_id = Contacted.customer_id
GROUP BY company_name, customer_id
答案 0 :(得分:2)
这基本上是一个left join
,具有聚合功能:
select c.company_id,
count(distinct c.id) as num_customers,
count(co.id) as num_contacts,
count(co.id) * 1.0 / count(distinct c.id) as num_per_customer
from customer c left join
contacted co
on co.customer_id = c.id and
co.converted_dt < c.created_dt
group by c.company_id